Two-term, asymptotically sharp estimates for eigenvalue means of the Laplacian
classification
🧮 math.SP
keywords
sharpasymptoticallydomaineigenvalueslaplacianadditionaveragedbest
read the original abstract
We present asymptotically sharp inequalities for the eigenvalues $\mu_k$ of the Laplacian on a domain with Neumann boundary conditions, using the averaged variational principle introduced in \cite{HaSt14}. For the Riesz mean $R_1(z)$ of the eigenvalues we improve the known sharp semiclassical bound in terms of the volume of the domain with a second term with the best possible expected power of $z$. In addition, we obtain two-sided bounds for individual $\mu_k$, which are semiclassically sharp. In a final section, we remark upon the Dirichlet case with the same methods.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.